?Data scientist / Applied Machine learning engineer.
ESSENTIAL POSITION RESPONSIBILITIES
Breaking down business problems into statistical and machine learning problem formulations for actionable insights
Develop robust anomaly detection models based on textual, time series data
Use machine learning methods to produce insights from infrastructure and configuration data
Use feature engineering to extract the best features for a problem and apply suitable regularization techniques for robust analysis
Create new statistical models to correlate data from several different sources
Create quality software in Python and Java to access, process and analyze data
DESIRED SKILLS AND EXPERIENCE
BS Degree Computer Science or related field from an accredited university (MS Degree preferred)
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Solid understanding of data structures, algorithms, object oriented design and patterns
Excellent understanding of machine learning techniques and algorithms, such as k-means, k-NN, Naive Bayes, SVM, Decision Forests, HMM, Neural nets, Deep learning etc.
Hands on programming experience with Java//Python
Experience building highly scalable solutions in real-time analysis for large data sets
Effective communicator who can work with stakeholders to define requirements